This facial recognition app tells one panda from another
CHENGDU -- Having trouble discerning one furry panda from another? A facial recognition app will make it easy for you.
The app is developed by the China Conservation and Research Center for Giant Pandas along with researchers in Singapore Nanyang Technological university and Sichuan Normal University.
The image analysis research kicked off in 2017. A database now contains about 120,000 images and 10,000 video clips of giant pandas.
Close to 10,000 panda pictures have been analyzed, marked and annotated.
Using the database, researchers are able to carry out automatic facial recognition on panda faces to tell one animal from another, the center said.
Panda researchers hope algorithms and AI technology will help them analyze data on pandas both in captivity and the wild.
"The app and database will help us gather more precise and well-rounded data on the population, distribution, ages, gender ratio, birth and deaths of wild pandas, who live in deep mountains and are hard to track," said Chen Peng, a researcher with the base who co-authored a paper on "Giant Panda Face Recognition Using Small Database."
"It will definitely help us improve efficiency and effectiveness in conservation and management of the animals," Chen said.
China has carried out four scientific field research project of giant pandas in the wild.
The giant panda was scientifically discovered 150 years ago and named in the city of Ya'an, Sichuan. It remains one of the world's most endangered species.
The number of captive pandas was 548 globally as of November last year. Fewer than 2,000 pandas live in the wild, mostly in the provinces of Sichuan and Shaanxi.
- China sees record maritime trial case volume with robust infrastructure
- 240 Chinese suspects repatriated from Cambodia
- Remains of 43 Chinese People's Volunteers martyrs return homeland from ROK
- 21st China Intl Agri Trade Fair: Modernizing agriculture goals
- National Health Commission to consolidate diagnosis and treatment systems
- Tianzi Mountain's autumn flourish attracts tourists